Data Analyst IV- # 26-26051

$54.72 per hour

Toronto, ON

Contract

Duration: 12+ Month (Extension & Conversion possible)

Position Overview

We are seeking an experienced Senior Data Analyst / Product Owner to support the delivery and lifecycle management of data and analytics products within a Risk organization. This role combines hands‑on data analytics and business intelligence expertise with product ownership, stakeholder management, and Agile delivery responsibilities.

The successful candidate will work closely with business, risk, technology, and data engineering teams to translate business requirements into scalable analytics solutions, reporting capabilities, dashboards, and automation processes. The role requires a strong understanding of Power BI, SQL, Python, product backlog management, and enterprise data environments.

Key Responsibilities

Product Ownership & Business Analysis

• Own the delivery and enhancement of analytics and reporting products, aligning priorities with business objectives.

• Collaborate with business, risk, and technology stakeholders to define product requirements, roadmaps, and delivery plans.

• Lead requirements gathering, business discovery sessions, and process analysis to identify opportunities for improvement and automation.

• Translate business needs into epics, features, user stories, acceptance criteria, and prioritized product backlogs.

• Manage backlog prioritization, dependencies, delivery risks, and competing business requirements.

• Facilitate Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives.

• Define success metrics and communicate delivery progress, recommendations, and business outcomes to stakeholders.

• Support change management, training, and adoption of analytics products.

Data Analytics & Business Intelligence

• Design, develop, enhance, and maintain interactive Power BI dashboards and reports for business and leadership stakeholders.

• Build and optimize data models, DAX measures, calculations, and Power Query transformations.

• Develop complex SQL queries, stored procedures, views, and data models to support reporting and analytics.

• Use Python to automate data processing, reconciliation, validation, and reporting workflows.

• Analyze large and complex datasets to identify trends, anomalies, and actionable business insights.

• Perform data quality checks, integrity assessments, and reconciliations to ensure accurate and reliable reporting.

• Develop reusable datasets, business rules, data mappings, process flows, and data dictionaries.

• Troubleshoot production issues and continuously improve reporting performance, automation, and data accessibility.

Cloud Data Platforms & Governance

• Support enterprise data modernization initiatives using Microsoft Azure and cloud-based analytics technologies.

• Work with platforms and services such as Azure Data Factory, Azure SQL Database, Synapse Analytics, Databricks, Unity Catalog, and Azure Storage.

• Collaborate with data engineering teams on data ingestion, transformation, curation, and operationalization.

• Ensure analytics solutions adhere to enterprise data governance, security, and data management standards.

• Required Qualifications

• 8+ years of experience in data analytics, business intelligence, business analysis, product ownership, or related roles.

• Demonstrated experience combining Product Owner responsibilities with hands‑on data analytics and BI development.

• Strong understanding of Agile methodologies and product management practices.

• Proven experience in requirements gathering, stakeholder engagement, backlog prioritization, and delivery planning.

• Advanced Power BI skills, including data modeling, DAX, Power Query, dashboard development, and performance optimization.

• Strong SQL skills and experience working with large, complex datasets.

• Proficiency in Python for data analysis and automation.

• Experience working with enterprise data environments and cloud-based analytics platforms.

• Ability to translate business requirements into practical data and reporting solutions.

• Strong documentation skills, including business requirements, process flows, user stories, and data specifications.

• Excellent communication, facilitation, presentation, analytical, and problem‑solving skills.

• Ability to manage multiple priorities and work independently in a fast‑paced environment.